The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617
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Feb 20, 2023 Vinodkumar Prabhakaran, a Senior Research Scientist at Google Research, delves into the intersection of AI and social disparities. He explores how machine learning, particularly natural language processing, can reveal biases in police-community interactions and employee communications. The discussion highlights the importance of collaboration between data and social scientists to address these issues. Vinod also shares insights on ensuring fairness in AI model building, emphasizing the complexities of annotating human data and the need for diverse perspectives to enhance accountability.
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Bodycam Analysis
- Vinodkumar Prabhakaran used NLP to analyze police bodycam footage.
- This revealed disparities in respect and politeness during police stops.
Context Matters
- Prabhakaran emphasized the importance of collaboration with social scientists and police.
- This provided valuable context beyond just the raw data.
Majority Vote Issues
- Majority vote in data labeling can sideline minority perspectives, especially on subjective tasks.
- Disagreements vary across tasks; hate speech has higher agreement than something like disgust.